Antonio Parziale

747 total citations
33 papers, 337 citations indexed

About

Antonio Parziale is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Antonio Parziale has authored 33 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 7 papers in Cognitive Neuroscience. Recurrent topics in Antonio Parziale's work include Handwritten Text Recognition Techniques (15 papers), Image Processing and 3D Reconstruction (7 papers) and Hand Gesture Recognition Systems (6 papers). Antonio Parziale is often cited by papers focused on Handwritten Text Recognition Techniques (15 papers), Image Processing and 3D Reconstruction (7 papers) and Hand Gesture Recognition Systems (6 papers). Antonio Parziale collaborates with scholars based in Italy, Spain and Netherlands. Antonio Parziale's co-authors include Angelo Marcelli, Rosa Senatore, Miguel A. Ferrer, Moises Díaz, Claudio De Stefano, Antonio Della Cioppa, Francesco Fontanella, Giuseppe De Gregorio, Nicole Dalia Cilia and F. Rosina and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Oncology and Pattern Recognition.

In The Last Decade

Antonio Parziale

33 papers receiving 320 citations

Peers

Antonio Parziale
Comparison fields: 5 of 76
  • Computer Vision and Pattern Recognition 118
  • Artificial Intelligence 86
  • Oncology 45
  • Cognitive Neuroscience 34
  • Neurology 33
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Citations per field, relative to Antonio Parziale
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Citations per year, relative to Antonio Parziale
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Countries citing papers authored by Antonio Parziale

Since Specialization
Citations

This map shows the geographic impact of Antonio Parziale's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Antonio Parziale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Parziale more than expected).

Fields of papers citing papers by Antonio Parziale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio Parziale. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Antonio Parziale. The network helps show where Antonio Parziale may publish in the future.

Co-authorship network of co-authors of Antonio Parziale

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Parziale. A scholar is included among the top collaborators of Antonio Parziale based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Antonio Parziale. Antonio Parziale is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 2
3 34
4 1
5 30
6 14
7 7
8 13
9 6
10 8
11 2
12 2
13 7
14
Some Observations on Handwriting from a Motor Learning Perspective.
17
15 12
16 30
17
Retrorectal tumours: a case report.
1
18 23
19 15
20
[The repair of inguinal and/or crural hernias with giant Mersilene prostheses in the preperitoneal position].
2

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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